It is imperative to develop efficient data analytics algorithms to deal with emerging engineering problems, e.g., critical infrastructures[1]}. Evolutionary algorithms lend themselves as powerful computational algorithms [2]} that can utilize a large number of techniques to solve large-scale engineering and science problems . EA provides an environment in which steganalysis yields a low time complexity. Researchers have adopted evolutionary algorithms for a wide variety of purposes in steganalysis like feature selection, finding the most probable sub-images in spatial domain, and much more. In this study, we focus on evolutionary algorithms that have attempted to improve steganalysis, such as Artificial Bee Colony (ABC) [3]}.
These studies [4]} utilized feature selection techniques to solve the COD problem [5]}.
